Zelma is an AI-powered research assistant specializing in U. S school testing data.

The tool has broad applications for educators, policymakers, or researchers looking to explore, filter, and understand a comprehensive dataset across various parameters using plain language queries.

It effectively turns plain English questions into data-driven insights.

Zelma's functionality covers a range of educational data inquiries, from comparing scores between states and school districts, analysing scores overtime, to discerning patterns based on different demographic identifiers like race/ethnicity.

It allows users to visualize these data sets with graphs and tables, facilitating easier comprehension of complex educational statistics and trends.

The dominant strength of Zelma, however, lies in its user-friendly design.

Users can ask a question via simple text and the AI will analyze the question, process the relevant data and return the answer in the form of descriptions, tables, or graphs.

This makes the tool very accessible, eliminating the need for advanced technical know-how or expertise in data analysis to utilize correctly.

Additionally, Zelma has prominent data sharing capabilities where users can share their insights via tweet links or embed the results, graphs and tables into blogs or any other web platforms, aiding in data dissemination to a wider audience.

Therefore, insights can be effectively communicated to the end user's targeted audience, making it a versatile tool for data-driven conversation and decision-making.